Merged revisions 58947-59004 via svnmerge from

svn+ssh://pythondev@svn.python.org/python/trunk

........
  r58952 | christian.heimes | 2007-11-12 10:58:08 -0800 (Mon, 12 Nov 2007) | 6 lines

  readline module cleanup
  fixed indention to tabs
  use Py_RETURN_NONE macro
  added more error checks to on_completion_display_matches_hook

  open question: Does PyList_SetItem(l, i, o) steal a reference to o in the case of an error?
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  r58956 | guido.van.rossum | 2007-11-12 12:06:40 -0800 (Mon, 12 Nov 2007) | 2 lines

  Add the test from issue 1704621 (the issue itself is already fixed here).
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  r58963 | amaury.forgeotdarc | 2007-11-13 13:54:28 -0800 (Tue, 13 Nov 2007) | 23 lines

  Merge from py3k branch:
  Correction for issue1265 (pdb bug with "with" statement).

  When an unfinished generator-iterator is garbage collected, PyEval_EvalFrameEx
  is called with a GeneratorExit exception set.  This leads to funny results
  if the sys.settrace function itself makes use of generators.
  A visible effect is that the settrace function is reset to None.
  Another is that the eventual "finally" block of the generator is not called.

  It is necessary to save/restore the exception around the call to the trace
  function.

  This happens a lot with py3k: isinstance() of an ABCMeta instance runs
      def __instancecheck__(cls, instance):
          """Override for isinstance(instance, cls)."""
          return any(cls.__subclasscheck__(c)
                     for c in {instance.__class__, type(instance)})
  which lets an opened generator expression each time it returns True.

  Backport candidate, even if the case is less frequent in 2.5.
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  r58968 | georg.brandl | 2007-11-14 05:59:09 -0800 (Wed, 14 Nov 2007) | 2 lines

  Remove dead link from random docs.
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  r58971 | raymond.hettinger | 2007-11-14 14:56:16 -0800 (Wed, 14 Nov 2007) | 1 line

  Make __fields__ read-only.  Suggested by Issac Morland
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  r58972 | raymond.hettinger | 2007-11-14 15:02:30 -0800 (Wed, 14 Nov 2007) | 1 line

  Add test for __fields__ being read-only
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  r58975 | raymond.hettinger | 2007-11-14 18:44:53 -0800 (Wed, 14 Nov 2007) | 6 lines

  Accept Issac Morland's suggestion for __replace__ to allow multiple replacements
  (suprisingly, this simplifies the signature, improves clarity, and is comparably fast).
  Update the docs to reflect a previous change to the function name.
  Add an example to the docs showing how to override the default __repr__ method.
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  r58976 | raymond.hettinger | 2007-11-14 18:55:42 -0800 (Wed, 14 Nov 2007) | 1 line

  Small improvement to the implementation of __replace__().
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  r58977 | raymond.hettinger | 2007-11-14 18:58:20 -0800 (Wed, 14 Nov 2007) | 1 line

  Fixup example in docs.
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  r58978 | raymond.hettinger | 2007-11-14 19:16:09 -0800 (Wed, 14 Nov 2007) | 1 line

  Example of multiple replacements.
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  r58998 | raymond.hettinger | 2007-11-15 14:39:34 -0800 (Thu, 15 Nov 2007) | 1 line

  Add example for use cases requiring default values.
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  r59000 | bill.janssen | 2007-11-15 15:03:03 -0800 (Thu, 15 Nov 2007) | 1 line

  add the certificate for the Python SVN repository for testing SSL
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  r59004 | guido.van.rossum | 2007-11-15 16:24:44 -0800 (Thu, 15 Nov 2007) | 8 lines

  A patch from issue 1378 by roudkerk:

  Currently on Windows set_error() make use of a large array which maps
  socket error numbers to error messages.

  This patch removes that array and just lets PyErr_SetExcFromWindowsErr()
  generate the message by using the Win32 function FormatMessage().
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This commit is contained in:
Guido van Rossum 2007-11-16 00:35:22 +00:00
parent 5b8b1555de
commit 3d392eb327
7 changed files with 147 additions and 203 deletions

View file

@ -10,7 +10,7 @@
This module implements high-performance container datatypes. Currently,
there are two datatypes, :class:`deque` and :class:`defaultdict`, and
one datatype factory function, :func:`named_tuple`. Python already
one datatype factory function, :func:`namedtuple`. Python already
includes built-in containers, :class:`dict`, :class:`list`,
:class:`set`, and :class:`tuple`. In addition, the optional :mod:`bsddb`
module has a :meth:`bsddb.btopen` method that can be used to create in-memory
@ -383,14 +383,14 @@ Setting the :attr:`default_factory` to :class:`set` makes the
.. _named-tuple-factory:
:func:`named_tuple` Factory Function for Tuples with Named Fields
:func:`namedtuple` Factory Function for Tuples with Named Fields
-----------------------------------------------------------------
Named tuples assign meaning to each position in a tuple and allow for more readable,
self-documenting code. They can be used wherever regular tuples are used, and
they add the ability to access fields by name instead of position index.
.. function:: named_tuple(typename, fieldnames, [verbose])
.. function:: namedtuple(typename, fieldnames, [verbose])
Returns a new tuple subclass named *typename*. The new subclass is used to
create tuple-like objects that have fields accessable by attribute lookup as
@ -415,7 +415,7 @@ they add the ability to access fields by name instead of position index.
Example::
>>> Point = named_tuple('Point', 'x y', verbose=True)
>>> Point = namedtuple('Point', 'x y', verbose=True)
class Point(tuple):
'Point(x, y)'
__slots__ = ()
@ -428,8 +428,8 @@ Example::
'Return a new dict mapping field names to their values'
return dict(zip(('x', 'y'), self))
def __replace__(self, field, value):
'Return a new Point object replacing one field with a new value'
return Point(**dict(zip(('x', 'y'), self) + [(field, value)]))
'Return a new Point object replacing specified fields with new values'
return Point(**dict(zip(('x', 'y'), self) + kwds.items()))
x = property(itemgetter(0))
y = property(itemgetter(1))
@ -447,7 +447,7 @@ Example::
Named tuples are especially useful for assigning field names to result tuples returned
by the :mod:`csv` or :mod:`sqlite3` modules::
EmployeeRecord = named_tuple('EmployeeRecord', 'name, age, title, department, paygrade')
EmployeeRecord = namedtuple('EmployeeRecord', 'name, age, title, department, paygrade')
from itertools import starmap
import csv
@ -486,18 +486,18 @@ two additonal methods and a read-only attribute.
>>> p.__asdict__()
{'x': 11, 'y': 22}
.. method:: somenamedtuple.__replace__(field, value)
.. method:: somenamedtuple.__replace__(kwargs)
Return a new instance of the named tuple replacing the named *field* with a new *value*:
Return a new instance of the named tuple replacing specified fields with new values:
::
>>> p = Point(x=11, y=22)
>>> p.__replace__('x', 33)
>>> p.__replace__(x=33)
Point(x=33, y=22)
>>> for recordnum, record in inventory:
... inventory[recordnum] = record.replace('total', record.price * record.quantity)
>>> for partnum, record in inventory.items():
... inventory[partnum] = record.__replace__(price=newprices[partnum], updated=time.now())
.. attribute:: somenamedtuple.__fields__
@ -509,11 +509,31 @@ two additonal methods and a read-only attribute.
>>> p.__fields__ # view the field names
('x', 'y')
>>> Color = named_tuple('Color', 'red green blue')
>>> Pixel = named_tuple('Pixel', Point.__fields__ + Color.__fields__)
>>> Color = namedtuple('Color', 'red green blue')
>>> Pixel = namedtuple('Pixel', Point.__fields__ + Color.__fields__)
>>> Pixel(11, 22, 128, 255, 0)
Pixel(x=11, y=22, red=128, green=255, blue=0)'
Since a named tuple is a regular Python class, it is easy to add or change
functionality. For example, the display format can be changed by overriding
the :meth:`__repr__` method:
::
>>> Point = namedtuple('Point', 'x y')
>>> Point.__repr__ = lambda self: 'Point(%.3f, %.3f)' % self
>>> Point(x=10, y=20)
Point(10.000, 20.000)
Default values can be implemented by starting with a prototype instance
and customizing it with :meth:`__replace__`:
::
>>> Account = namedtuple('Account', 'owner balance transaction_count')
>>> model_account = Account('<owner name>', 0.0, 0)
>>> johns_account = model_account.__replace__(owner='John')
.. rubric:: Footnotes
.. [#] For information on the star-operator see

View file

@ -282,8 +282,3 @@ Examples of basic usage::
Wichmann, B. A. & Hill, I. D., "Algorithm AS 183: An efficient and portable
pseudo-random number generator", Applied Statistics 31 (1982) 188-190.
http://www.npl.co.uk/ssfm/download/abstracts.html#196
A modern variation of the Wichmann-Hill generator that greatly increases the
period, and passes now-standard statistical tests that the original generator
failed.